Principal Data Engineer, Analytics - Riot Data

Riot Games - Los Angeles, CA

Full-time - Senior

Los Angeles, CA

Miscellaneous Manufacturing

About the position

As a Principal Data Engineer on the Central Product Insights team at Riot Games, you will play a crucial role in creating and maintaining data models that empower teams to achieve strategic goals. This position involves building foundational data sets for reporting, analysis, and machine learning applications, while ensuring that data needs are met across multiple product teams. You will be responsible for developing dashboards and curating data sources to answer key business questions, ultimately supporting data-informed decision-making within the organization.

Responsibilities

• Understand and anticipate data needs by owning key stakeholder relationships across multiple product teams.
• Architect, implement and own central data models that transform data from disparate sources into fully integrated, high-context datasets.
• Engineer efficient and scalable ETL pipelines in partnership with data engineering.
• Design, test and socialize new metrics that connect Riot data to desired business outcomes.
• Publish high-impact dashboards to enable self-service of data questions.
• Champion data governance best practices through robust documentation and lineage maps to curated sources of truth.
• Partner with Data Science to produce models consumable by Machine Learning applications.

Requirements

• 8+ years of professional experience, including 4+ in a technical analytics role (data, business intelligence, analyst).
• 4+ years of data visualization experience with Tableau, ThoughtSpot, Looker, PowerBI, Mode or similar tools.
• 4+ years of experience with data modeling for reporting or business use cases.
• Expertise using SQL in large-scale data warehousing environments.
• Passion for producing high impact data products at scale.
• ETL experience with Spark and/or Databricks.

Nice-to-haves

• Experience working in the games, entertainment or tech industries.
• Experience with Airflow or other DAG-based orchestration tools.
• Experience using dbt.
• Familiarity with at least 1 programming language, such as java or python.
• Experience optimizing for cloud-based data warehouses (Snowflake, BigQuery, DeltaLake).

Benefits

• Open paid time off policy
• Flexible work schedules
• Medical insurance
• Dental insurance
• Life insurance
• Parental leave for you, your spouse/domestic partner, and children
• 401k with company match